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Vegas-Sánchez-Ferrero, G., J. Seabra, O. Rodriguez-Leor, A. Serrano-Vida, S. Aja-Fernández, C. Palencia, M. Martin-Fernandez, and J. Sanches, "Gamma mixture classifier for plaque detection in intravascular ultrasonic images", Ultrasonics, Ferroelectrics and Frequency Control, IEEE Transactions on, vol. 61, no. 1: IEEE, pp. 44–61, 2014.
Vegas-Sánchez-Ferrero, G., S. Aja-Fernández, C. Palencia, and M. Martin-Fernandez, "A Generalized Gamma Mixture Model for Ultrasonic Tissue Characterization", Computational and mathematical methods in medicine, vol. 2012: Hindawi Publishing Corporation, 2012.
Planchuelo-Gómez, Á., D. García-Azorín, Á. L. Guerrero, M. Rodríguez, S. Aja-Fernández, and R. de Luis-García, "Gray Matter Structural Alterations in Chronic and Episodic Migraine: A Morphometric Magnetic Resonance Imaging Study", Pain Medicine, vol. 21, issue 11, pp. 2997-3011, 2020.
Simmross-Wattenberg, F., C. Palacios-Camarero, P. Casaseca-de-la-Higuera, M. Angel Martin-Fernandez, S. Aja-Fernández, J. Ruiz-Alzola, C-F. Westin, and C. Alberola-Lopez, "Group-Slicer: A collaborative extension of 3D-Slicer", Journal of Biomedical Informatics, vol. 38, pp. 431–442, 2005.
Sanz-Estébanez, S., Ó. Peña-Nogales, R. de Luis-García, S. Aja-Fernández, and C. Alberola-Lopez, "Groupwise Non-Rigid Registration on Multiparametric Abdominal DWI Acquisitions for Robust ADC Estimation: Comparison with Pairwise Approaches and Different Multimodal Metrics", International Symposium on Biomedical Imaging: From Nano to Macro (ISBI2017), Melbourne, Australia, 2017.
Tardón-García, L. J., J. Portillo-Garcia, and C. Alberola-Lopez, "Markov random fields and the disparity gradient constraint applied to stereo correspondence", Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on, vol. 3: IEEE, pp. 901–905, 1999.
Gibson, R. M., A. Amira, N. Ramzan, P. Casaseca-de-la-Higuera, and Z. Pervez, "Matching pursuit-based compressive sensing in a wearable biomedical accelerometer fall diagnosis device", Biomedical signal processing and control, vol. 33, pp. 96–108, 2017.
Aja-Fernández, S., R. de Luis-García, M. Afzali, M. Molendowska, T. Pieciak, and A. Tristán-Vega, "Micro-structure diffusion scalar measures from reduced MRI acquisitions", PLOS ONE, vol. 15, pp. 1-25, 2020.
Zhang, Y., Ó. Peña-Nogales, J. H. Holmes, and D. Hernando, "Monte-Carlo Analysis of Quantitative Diffusion Measurements Using Motion-Compensated Diffusion Weighting Waveforms", International Society of Magnetic Resonance in Medicine 25th Annual Meeting and Exhibition, Honolulu, HI, USA, pp. 1733, 2017.
Zhang, Y., Ó. Peña-Nogales, J. H. Holmes, and D. Hernando, "Motion-Robust and Blood-Suppressed M1-Optimized Diffusion MR Imaging of the Liver", ISMRM 27th annual meeting, vol. 116, 2019.
Planchuelo-Gómez, Á., D. García-Azorín, Á. L. Guerrero, S. Aja-Fernández, M. Rodríguez, and R. de Luis-García, "Multimodal fusion analysis of structural connectivity and gray matter morphology in migraine", Human Brain Mapping, vol. 42, issue 4, pp. 908-921, 2021.
Merino-Caviedes, S., M. Teresa Pérez, and M. Martin-Fernandez, "Multiphase level set algorithm for coupled segmentation of multiple regions. Application to MRI segmentation", Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE: IEEE, pp. 5042–5045, 2010.
Gibson, R. M., A. Amira, N. Ramzan, P. Casaseca-de-la-Higuera, and Z. Pervez, "Multiple Comparator Classifier Framework for Accelerometer-Based Fall Detection and Diagnostic", Applied Soft Computing, In press, 2015.
Gibson, R. M., A. Amira, N. Ramzan, P. Casaseca-de-la-Higuera, and Z. Pervez, "Multiple comparator classifier framework for accelerometer-based fall detection and diagnostic", Applied Soft Computing, vol. 39, pp. 94–103, 2016.
Royuela-del-Val, J., M. Usman, L. Cordero-Grande, M. Martin-Fernandez, F. Simmross-Wattenberg, C. Prieto, and C. Alberola-Lopez, "Multiresolution Reconstruction of Real-Time MRI with Motion Compensated Compressed Sensing: Application to 2D Free-Breathing Cardiac MRI", XXXIII Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB), Madrid, 11/2015.